Research discovery with artificial intelligence

Exploration of interdisciplinary research

Consistently outperforming old school search tools, Iris.ai builds an interdisciplinary research map based on a problem statement or research paper of your choice. Iris.ai does this by building a "fingerprint" using machine extracted keywords, contextual synonyms and hypernyms, then matches the fingerprint against more than 70M Open Access papers

Full research landscape mapping

Use the Exploration tool starting from your free text description of the problem and a result editor, to build a large corpus of documents related to the problem statement. Use the iterative Focus tool to narrow down to a precise reading list.

Natural Language Understanding

Iris.ai uses a combination of keyword extraction, word embeddings, neural topic modeling, word importance based similarity of document metrics and hierarchical topic modeling. The approach is mainly unsupervised but we utilize an evaluated annotation set from our community of AI Trainers for benchmarking and improving our tools.

WISDMFingerprints are matched using the WISDM document similarity metric.Basis for document fingerprint indexing.

HOURS SAVED

PER YEAR

WITH A TEAM OF

RESEARCHERS

Saved time and increased radical discovery

Industrial researchers use on average 3 weeks to build a reading list, with a self-reported 70% confidence. Using the systematic academic approach, we save you time and resources – while increasing the chances of groundbreaking interdisciplinary discovery.

Up to 90% time reduction

85% precision

Increase interdisciplinary inspiration

Organize your internal R&D documents

LATEST NEWS

Together with 11 of the most inspiring Nordic #ArtificialIntelligence players, we are forming a new alliance to accelerate AI adoption in the Nordics! #NordicAIAlliance #openness #transparency https://t.co/TfnqOiY6hl

How can you positively impact the lives of a billion people in a decade? Watch the #videointerview with @twitnitnit, founder of @TheIrisAI and find out her views. #DeloitteDigiLU #ArtificialIntelligence #AI

We are proud to be among the 8 companies who received investments from @designtoimprovelife through the #indexaward pipeline. Read more about how they've expanded. https://t.co/EItLvtpNhw #designtoimprovelife #dtilfund

On #InternationalWomensDay, we are proud to celebrate women in STEM, including our own https://t.co/z1YbQbu2wU team with 2 female founders and a nearly 50% female team with members in research, business and tech! Happy #IWD2019

“Knowledge should not be accessible only to those who can pay,” said Robert May, chair of UC’s faculty Academic Senate. “The quest for full open access is essential if we are to truly uphold the mission of this university.”

A recent @wef article featured 12 ways that the tech sector could tackle the immense global challenges presented by climate change. In our latest blog, explore how you can use AI to "make information more useful" and create positive change.

We're proud to share that @twitnitnit will be a keynote speaker at @BIBSYS conference, Mar 12-13! If you're visiting the conference this year, drop by the https://t.co/z1YbQbu2wU exhibitor booth as well and say hello. 👋#bibsys2019 https://t.co/hfM6oiYiXL